The purpose of the study covers theoretical analysis and mathematical modeling of alternating current measuring transducers based on magnetodielectric cores for automation systems in oil refineries. The paper describes the analytical study of the magnetization curve, creation of the equivalent circuit and thus obtained mathematical model of a transducer, numerical study of the proposed transducer, as well as the contrastive analysis of transducers currently used to measure the current.
The aim of this work is to study the synchronization system in wireless sensor networks of remote objects of the oil and gas complex. The objective of the study is to ensure the timely collection of reliable information about the parameters of the process. In the course of the study, methods of theoretical circuitry and mathematical modeling were used, in particular, regression and analytical models, methods of probability theory and mathematical statistics using MathCad and Matlab software packages. The conducted studies indicate a high vulnerability of the radio links of the infocommunication system for monitoring the parameters of remote objects of the oil and gas complex from attacks on the synchronization system when using deterministic synchronization signals in it. The results achieved allow us to provide the specified requirements for reliability and timeliness when deploying modern wireless sensor networks in the oil and gas industry.
The main aim of the research is the development of effective methods and algorithms based on the hybrid principles functioning of the immune system and evolutionary search to determine a global optimal solution to optimisation problems. Artificial immune algorithms are characterised as diverse ones, extremely reliable and implicitly parallel. The integration of modified evolutionary algorithms and immune algorithms is proposed to be used for the solution of above problem. There is no exact method for the efficient solving unclear optimisation problems within the polynomial time. However, by determining close to optimal solutions within the reasonable time, the hybrid immune algorithm (HIA) is capable to offer multiple solutions, which provide compromise between several goals. Quite few researches have been focused on the optimisation of more than one goal and even fewer used to have distinctly considered diversity of solutions that plays fundamental role in good performance of any evolutionary calculation method.
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